Tall, heterogeneous forests improve prey capture, delivery to nestlings, and reproductive success for Spotted Owls in southern California

Author:

Wilkinson Zachary A1,Kramer H Anu1,Jones Gavin M23,Zulla Ceeanna J1,McGinn Kate1,Barry Josh M1,Sawyer Sarah C4,Tanner Richard5,Gutiérrez R J6,Keane John J7,Peery M Zachariah1

Affiliation:

1. Department of Forest and Wildlife Ecology, University of Wisconsin , Madison, Wisconsin , USA

2. U.S.D.A. Forest Service, Rocky Mountain Research Station , Albuquerque, New Mexico , USA

3. Biology Department, University of New Mexico , Albuquerque, New Mexico , USA

4. U.S.D.A. Forest Service – Region 5 , Sacramento, California , USA

5. Tanner Environmental Services , Alameda, California , USA

6. Department of Fisheries, Wildlife, and Conservation Biology, University of Minnesota , St. Paul, Minnesota , USA

7. U.S. Forest Service, Pacific Southwest Research Station , Davis, California , USA

Abstract

Abstract Predator–prey interactions can be profoundly influenced by vegetation conditions, particularly when predator and prey prefer different habitats. Although such interactions have proven challenging to study for small and cryptic predators, recent methodological advances substantially improve opportunities for understanding how vegetation influences prey acquisition and strengthen conservation planning for this group. The California Spotted Owl (Strix occidentalis occidentalis) is well known as an old-forest species of conservation concern, but whose primary prey in many regions—woodrats (Neotoma spp.)—occurs in a broad range of vegetation conditions. Here, we used high-resolution GPS tracking coupled with nest video monitoring to test the hypothesis that prey capture rates vary as a function of vegetation structure and heterogeneity, with emergent, reproductive consequences for Spotted Owls in Southern California. Foraging owls were more successful capturing prey, including woodrats, in taller multilayered forests, in areas with higher heterogeneity in vegetation types, and near forest-chapparal edges. Consistent with these findings, Spotted Owls delivered prey items more frequently to nests in territories with greater heterogeneity in vegetation types and delivered prey biomass at a higher rate in territories with more forest-chaparral edge. Spotted Owls had higher reproductive success in territories with higher mean canopy cover, taller trees, and more shrubby vegetation. Collectively, our results provide additional and compelling evidence that a mosaic of large tree forest with complex canopy and shrubby vegetation increases access to prey with potential reproductive benefits to Spotted Owls in landscapes where woodrats are a primary prey item. We suggest that forest management activities that enhance forest structure and vegetation heterogeneity could help curb declining Spotted Owl populations while promoting resilient ecosystems in some regions.

Funder

U.S. Forest Service

University of Wisconsin-Madison

Publisher

Oxford University Press (OUP)

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

Reference80 articles.

1. A land use and land cover classification system for use with remote sensor data.;Anderson,1976

2. Review of rope-based access methods for the forest canopy: Safe and unsafe practices in published information sources and a summary of current methods;Anderson;Methods in Ecology and Evolution,2015

3. Uninformative parameters and model selection using Akaike’s information criterion;Arnold;The Journal of Wildlife Management,2010

4. Resource selection by GPS-tagged California Spotted Owls in mixed-ownership forests;Atuo;Forest Ecology and Management,2019

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3